Alternatives and similar repositories for genlasso

Users that are interested in genlasso are comparing it to the libraries listed below

• glmgen / glmgen
  Generalized lasso implementations
  ☆46Updated 6 months ago
• wfithian / optimal-inference
  repo for "Optimal Inference After Model Selection"
  ☆11Updated 8 years ago
• YaohuiZeng / grpregOverlap
  Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates
  ☆20Updated 2 years ago
• rgiordan / StanSensitivity
  Tools for automatically generating local sensitivity measures in Stan.
  ☆36Updated 4 years ago
• pbreheny / grpreg
  Regularization paths for regression models with grouped covariates
  ☆34Updated 2 months ago
• jtimonen / lgpr
  R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…
  ☆25Updated 8 months ago
• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated last year
• theodds / SoftBART
  ☆31Updated 4 months ago
• skdeshpande91 / VCBART
  R implementation of VCBART
  ☆21Updated 11 months ago
• RoheLab / vsp
  Vintage Sparse PCA for Semi-Parametric Network Analysis
  ☆26Updated 6 months ago
• ryantibs / best-subset
  Comparisons between best subset selection and other popular sparse regression estimators
  ☆86Updated last year
• hofnerb / stabs
  Stability Selection with Error Control
  ☆26Updated 4 years ago
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆65Updated 4 years ago
• bmihaljevic / bnclassify
  Learning Discrete Bayesian Network Classifiers from Data
  ☆19Updated last year
• erichson / spca
  Sparse Principal Component Analysis (SPCA) using Variable Projection
  ☆68Updated 7 years ago
• rsnirwan / HouseholderBPCA
  Rotation Invariant Householder Parameterization for Bayesian PCA
  ☆17Updated 2 years ago
• dm13450 / dirichletprocess
  Build dirichletprocess objects for data analysis
  ☆59Updated last year
• pcarbo / varbvs
  Large-scale Bayesian variable selection for R and MATLAB.
  ☆41Updated 2 years ago
• gabriuma / basis_functions_approach_to_GP
  ☆54Updated 2 years ago
• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 6 years ago
• STOR-i / sgmcmc
  sgmcmc: a stochastic gradient MCMC package for R
  ☆29Updated 4 years ago
• stan-dev / projpred
  Projection predictive variable selection
  ☆112Updated this week
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆61Updated 4 years ago
• johnmyleswhite / bayesian_nonparametrics
  Slides and code for Bayesian nonparametrics in R and Julia
  ☆54Updated 10 years ago
• erichson / rSVD
  Randomized Matrix Decompositions using R
  ☆99Updated 4 years ago
• andland / generalizedPCA
  Dimensionality reduction for exponential family data by extending PCA
  ☆23Updated 6 years ago
• tedwestling / ctsCausal
  ☆10Updated 2 years ago
• pbreheny / biglasso
  biglasso: Extending Lasso Model Fitting to Big Data in R
  ☆114Updated 2 months ago
• mariarizzo / energy
  energy package for R
  ☆46Updated 8 months ago
• to-mi / stan-survival-shrinkage
  Bayesian linear survival analysis with shrinkage priors in Stan
  ☆24Updated 9 years ago